Compressive Sensing technique for multi-frequency sparse linear array design

The synthesis of multi-frequency sparse linear antenna arrays is addressed through the use of an innovative technique based on the multi-task Bayesian Compressive Sensing (MT-BCS). The definition of the array element locations as well as the values of the excitation weights are optimized such to generate the same reference beam pattern at all the desired frequencies. Preliminary results are reported and discussed in order to validate the proposed approach and to show its effectiveness in dealing with the synthesis problem at hand.